restored_incidence_database

<p>A dataset including 27,418 samples of different
restored incidence curves computed by EpiInvert using real data. Each 
restored incidence curve includes the last 56 values of the sequence.</p>

datasets

Using variational techniques we address some epidemiological
problems as the incidence curve decomposition by inverting the renewal
equation as described in Alvarez et al. (2021) <doi:10.1073/pnas.2105112118>
and Alvarez et al. (2022) <doi:10.3390/biology11040540> or the estimation of
the functional relationship between epidemiological indicators. We also
propose a learning method for the short time forecast of the trend
incidence curve  as described in
Morel et al. (2022) <doi:10.1101/2022.11.05.22281904>.

Luis Alvarez

EpiInvert

Variational Techniques in Epidemiology

Jean-David Morel

Jean-Michel Morel

restored_incidence_database function

Format

A dataset of restored daily incidence trend curves — restored_incidence_database

A dataset of restored daily incidence trend curves

restored_incidence_database: A dataset of restored daily incidence trend curves

Description

Usage

Arguments

Format